Activity Travel Planning and Rescheduling Behavior

Travel behavior research of the past few years has shown an increasing interest in dynamic activity scheduling. Research was done to analyze factors influencing the actual activity scheduling process by using detailed activity travel data from an extensive data set collected in Flanders (Belgium). A model examines the attributes that influence activity planning; a second model analyzes the factors that affect activity rescheduling. The explanatory variables considered in both models are individual, household, activity, and schedule attributes, and their impact is analyzed by using mixed logit models. Random effects are added to the models to test for within-individual variance. The results reveal that activity and schedule characteristics considerably affect activity planning. The rescheduling model also has several highly significant activity and schedule attributes. Most individual and household attributes considered do not influence activity planning and rescheduling behavior, although strong statistical evidence indicates that individual-specific preferences for planning and rescheduling determine the process of activity scheduling.

[1]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[2]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[3]  Ta Theo Arentze,et al.  Experiences with developing ALBATROSS: a learning-based transportation oriented simulation system , 1998 .

[4]  Tommy Gärling,et al.  Computer Simulation of Household Activity Scheduling , 1998 .

[5]  Tommy Gärling,et al.  The role of anticipated time pressure in activity scheduling , 1999 .

[6]  Ta Theo Arentze,et al.  Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations , 2000 .

[7]  E. Miller,et al.  A computerized household activity scheduling survey , 2000 .

[8]  M. Fishbein,et al.  Factors influencing behavior and behavior change. , 2000 .

[9]  Ta Theo Arentze,et al.  Modeling Effects of Anticipated Time Pressure on Execution of Activity Programs , 2001 .

[10]  Michael G. McNally,et al.  Experiments with Computerized Self-Administrative Activity Survey , 2001 .

[11]  T. Revenson,et al.  Handbook of Health Psychology , 2001 .

[12]  Sean T. Doherty,et al.  Should we abandon activity type analysis , 2003 .

[13]  Matthew J. Roorda,et al.  Prototype Model of Household Activity-Travel Scheduling , 2003 .

[14]  Ta Theo Arentze,et al.  Activity-Travel Scheduling and Rescheduling Decision Processes: Empirical Estimation of Aurora Model , 2004 .

[15]  Hjp Harry Timmermans,et al.  A learning-based transportation oriented simulation system , 2004 .

[16]  Sean T. Doherty,et al.  Analysis of Factors Affecting the Frequency and Type of Activity Schedule Modification , 2005 .

[17]  Harry Timmermans,et al.  Progress in Activity-Based Analysis , 2005 .

[18]  J. Polak,et al.  Empirical Analysis of Factors Affecting the Resolution of Activity-Scheduling Conflicts , 2005 .

[19]  Sean T. Doherty,et al.  How Far in Advance Are Activities Planned? , 2005 .

[20]  Eric J. Miller,et al.  Strategies for Resolving Activity Scheduling Conflicts , 2005 .

[21]  Matthew J. Roorda,et al.  Strategies for Resolving Activity Scheduling Conflicts: An Empirical Analysis , 2005 .

[22]  Matthew J. Roorda,et al.  Strategies for Resolving Activity Scheduling Conflicts: An Empirical Analysis , 2005 .

[23]  Toshiyuki Yamamoto,et al.  Florida activity mobility simulator - Overview and preliminary validation results , 2005 .

[24]  Sean T. Doherty,et al.  Mixed Logit Model of Activity-Scheduling Time Horizon Incorporating Spatial–Temporal Flexibility Variables , 2005 .

[25]  Russell D. Wolfinger,et al.  SAS for Mixed Models, Second Edition , 2006 .

[26]  Abolfazl Mohammadian,et al.  Modeling activity scheduling time horizon: Duration of time between planning and execution of pre-planned activities , 2006 .

[27]  Harry Timmermans,et al.  Changing the timing of activities in resolving Scheduling Conflicts , 2006 .

[28]  Harry Timmermans,et al.  Changing the timing of activities in resolving Scheduling Conflicts , 2006 .

[29]  Matthew J. Roorda,et al.  Stated Adaptation Survey of Activity Rescheduling , 2007 .

[30]  Davy Janssens,et al.  Modelling Short-Term Dynamics in Activity-Travel Patterns: Conceptual Framework of the Feathers Model , 2007 .

[31]  Davy Janssens,et al.  Field Evaluation of Personal Digital Assistant Enabled by Global Positioning System , 2008 .

[32]  Harry Timmermans,et al.  Changing the duration of activities in resolving scheduling conflicts , 2008 .

[33]  Harry Timmermans,et al.  Changing the duration of activities in resolving scheduling conflicts , 2008 .

[34]  Davy Janssens,et al.  Surveying activity-travel behavior in Flanders: Assessing the impact of the survey design , 2009 .